Artificial Intelligence, Machine Learning and Data Science, Data Visualisation
When the arena is something as pure as a board game, where the rules are entirely known and always exactly the same, the results are remarkable. When the arena is something as messy, unrepeatable and… Read More »How much should we fear the rise of artificial intelligence?
In his book The Master Algorithm, Domingos has a pretty good opening for a chapter on the Bayesian approach to machine learning.
Story Source: The above post is reprinted from materials provided by Massachusetts Institute of Technology. The original item was written by David L. Chandler. Note: Materials may be edited for content and length. From gene mapping to space exploration,… Read More »Quantum algorithms for topological and geometric analysis of data
Exploring around the interwebs, I came across this article by Rupert Goodwins in ArsTechnica about debunking myths about Artificial Intelligence. HAL 9000 in the film 2001. It is a good read and it you have a… Read More »Artificial Intelligence – Debunking Myths
Now reading “The Master Algorithm” by Pedro Domingos. You can’t control what you don’t understand, and that’s why you need to understand machine learning—as a citizen, a professional, and a human being engaged in the… Read More »Now reading: The Master Algorithm
Much has been said in pro and against the use of pie charts… And the discussion is by no means something new For example in 1923, the American economist Karl G. Karsten warned us against… Read More »Should You Ever Use a Pie Chart?
Working with data and approaching data-based competitions
I recently asked the guys at the Data Science class at GA to bring a good example of a “daft graph” and they all did that with gusto. As usual, there was a certain cable… Read More »The percentage of excellence in book – reblog
